26 results about "Amplitude distribution" patented technology

This invention discloses a sparse method and related equipment for quadrant amplitude mapping arrays. The method, through recursive partitioning and a deterministic amplitude mapping mechanism, eliminates the randomness of traditional probabilistic methods, ensuring the uniqueness and stability of the output layout under the same input conditions, thereby significantly improving the repeatability and engineering reliability of the design results. The method in this embodiment achieves high-precision matching between amplitude distribution and cell position through sparse cell allocation based on recursive quadrant partitioning, significantly reducing sidelobe levels while lowering the standard deviation of performance fluctuations. Furthermore, the method in this embodiment is independent of specific array geometry and naturally supports rectangular, circular, and irregular arrays with internal obstacles through its recursive processing mechanism, demonstrating excellent versatility and flexibility, and can be widely applied in the field of data processing technology.

This disclosure relates to a method and apparatus for generating a controllable source scanning signal based on compensation, which can improve the quality of seismic exploration data. The method includes: acquiring single-shot seismic record data of an exploration area; performing spectral analysis on the single-shot seismic record data to obtain an amplitude-frequency spectrum; dividing the amplitude-frequency spectrum into at least two frequency segments based on the amplitude distribution of the amplitude-frequency spectrum; calculating the compensation for the scanning duration of each frequency segment in the at least two frequency segments based on the amplitude distribution of the theoretical scanning spectrum, obtaining a reference scanning duration for each frequency segment aligned with the amplitude of the theoretical scanning spectrum; determining the target scanning duration for each frequency segment under a preset total scanning duration based on the reference scanning duration; and generating a target scanning signal for the exploration area by concatenating the start and end frequencies of each frequency segment and the corresponding target scanning duration.

This invention discloses a method and system for phase measurement of metalenses in a refractive-meta-hybrid system. By constructing a reference complex amplitude distribution corresponding to the modulation characteristics of the refractive optical unit, the phase modulation introduced by the refractive optical unit can be decoupled based on the reference complex amplitude distribution after phase inversion. When the physical parameters of the refractive optical unit are set to be equivalent to free space or air, the reference complex amplitude distribution is the light field distribution directly propagated from the illumination source to the surface of the metalens. To address factors such as light source power fluctuations, exposure differences, and non-ideal illumination beam profiles, the measurement amplitude distribution corresponding to the measurement intensity distribution of the defocus plane is normalized and corrected using an energy ratio coefficient. Furthermore, by fusing the reference amplitude distribution with a hybrid weighting factor and the return amplitude distribution corresponding to the return complex amplitude distribution of the exit surface, the stability of the iterative inversion process can be improved and the inversion bias introduced by amplitude mismatch can be reduced.

The utility model provides a monocrystal material or workpiece elasticity constant and crystal orientation ultrasonic testing device, and the special water immersion ultrasonic detection system that it uses includes: manipulator, water tank, probe holder, sample table, probe, wherein: probe holder is connected with the end gripper of manipulator or is the end gripper of manipulator itself, and the sample table for placing the sample to be measured is located in the water tank, and the probe is arranged on the probe holder, and it excites the three-dimensional ultrasonic wave signal of multiple wave types in the workpiece and receives its scanning signal, and constructs the omnidirectional sound time amplitude distribution image under polar coordinates according to this, obtains the actual sound field image of ultrasonic anisotropic propagation, obtains the ultrasonic sound velocity of monocrystal material each direction through image processing, and realizes the double measurement of monocrystal material or workpiece elasticity constant and crystal orientation through inversion algorithm. When the utility model is applied, the elastic modulus and crystal orientation of monocrystal material can be accurately and quickly obtained, the conditions and steps are simplified, and the test time is shortened.

The application discloses a kind of extraction and error correction methods for evaluating the sampling rate of pulse waveform measurement system, to sample rate f0 The output waveform of detector is sampled, and high sampling rate original waveform is obtained;According to the target sampling rate set, select multiple extraction ratios, based on different starting points, perform multiple sets of extraction operations with the same ratio on the original waveform, and expand to obtain multiple sets of waveforms with uniformly distributed sampling phases;According to the application scenario, select and calculate the evaluation parameter σ;According to the amplitude distribution estimation error caused by the correlation between waveforms during the extraction process, introduce the correction factor p To modify the evaluation parameter;The contribution ratio of the error caused by the correlation between waveforms to the evaluation parameter is further modified to the evaluation parameter σ, to realize the accurate evaluation of waveform measurement system.The method can greatly reduce the research and development cost and cycle of multi-channel readout electronics, and the uniform sampling phase can effectively avoid random error.

Methods, systems, and devices for wireless communications are described. A transmitting wireless device may perform probabilistic amplitude shaping (PAS) on one or more portions of a message such that one or more symbols of the transmission may be associated with one or more non-uniform amplitude distributions, while also using uniformly distributed constellation symbols for the remaining portions of the same message. For example, the transmitting wireless device may obtain one or more subsets of bits associated with a uniform information bit distribution. The wireless device may perform one or more shaping operations on one or more of the subsets in accordance with PAS while refraining from performing the shaping operation on one or more subsets. The wireless device may map the subsets of bits to symbols of a transmission, and may transmit the symbol sequence to a receiving wireless device.

The application discloses a machine learning-based terahertz graphene adjustable super surface design method, which comprises the following steps: setting a first target matrix and a second target matrix for phase optimization according to target intensity and position of a far-field diffraction beam; constructing a phase optimization model based on the combination of simulated annealing and Fourier transform, using the first target matrix to obtain optimal phase distribution of the super surface through iterative optimization; constructing an amplitude-phase joint optimization model based on particle swarm optimization, using the second target matrix to jointly optimize the amplitude and phase of the super surface, obtaining a corrected disturbance phase distribution and a quantized amplitude distribution, and realizing dynamic switching of the number of far-field beams; the machine learning algorithm is used as the basis, the optimization model has universality, and the graphene super surface unit has a relatively deep modulation depth, so that the number of far-field diffraction beams can be arbitrarily changed and switched.

This application provides an adaptive large-model inference method and apparatus based on context sparsity, relating to the field of large language model inference optimization technology. The method includes: acquiring data to be processed; during the inference process using a sparse-aware large language model on the data to be processed, determining a subset of weights participating in the calculation of each processing layer based on the amplitude distribution characteristics of input activations, and performing layer-by-layer forward computation using the determined subset of weights to generate an inference result; wherein, input activations include neurons activated based on the data to be processed in each processing layer of the large language model. The adaptive large-model inference method and apparatus based on context sparsity provided in this application dynamically identifies and activates only the subset of weights that have a decisive influence on the current inference result by utilizing the amplitude distribution characteristics of input activations during model inference, thereby avoiding redundant calculations of the complete model parameters.

The application discloses a method, device and related equipment for determining a seismic data migration profile, and the method comprises the following steps: screening discrete diffraction points at a preset interval in a velocity field model constructed by seismic data, and extracting a root mean square amplitude value of the screened discrete diffraction points based on a point spread function determined by the screened discrete diffraction points, so as to determine an amplitude distribution of each of the screened discrete diffraction points; performing interpolation processing on the amplitude of each of the screened discrete diffraction points based on a preset interpolation algorithm, so as to determine a global amplitude distribution of all the discrete diffraction points; determining a regularization operator based on the global amplitude distribution of all the discrete diffraction points; and performing regularization processing on a gradient field determined by the seismic data based on the regularization operator, so as to determine a migration profile corresponding to the seismic data. The point spread function is used to analyze illumination of an imaging space, and a regularization operator for the imaging space is generated to perform regularization processing, so that a least square migration objective function converges.

This application relates to the field of photovoltaic energy storage rectification control technology, specifically to a rectification control method and system for a bidirectional photovoltaic energy storage inverter. The method includes: acquiring electrical parameters, photovoltaic cell parameters, and environmental data for each acquisition cycle of the bidirectional photovoltaic energy storage inverter; analyzing the peak distribution of the spectrum of each electrical parameter to determine significant peaks; and studying the frequency correlation of significant peaks in adjacent acquisition cycles to obtain a harmonic variation sequence. Through autocorrelation analysis and amplitude distribution characteristics, combined with environmental monitoring data, the harmonic fluctuation index for each acquisition cycle is calculated. Based on this, the MPPT control algorithm is used to determine the maximum power point, and the disturbance step size and frequency of the MPPT control are adjusted according to the harmonic fluctuation index to optimize the rectification control of the photovoltaic energy storage inverter, thereby improving control efficiency and reducing harmonic pollution.

This application relates to a clustering-based SPAD signal processing method, system, and computer device. The method includes: determining an adaptive noise removal threshold based on the amplitude distribution characteristics of the filtered SPAD signal; using the adaptive noise removal threshold to filter candidate pulses from the filtered SPAD signal, extracting multi-dimensional physical features of each candidate pulse in the time domain, and constructing a pulse feature matrix; performing unsupervised clustering on the pulse feature matrix, automatically determining the optimal number of clusters during the clustering process, and obtaining multiple pulse clusters; performing multi-index weighted scoring on the pulses within each pulse cluster according to a judgment index and index weights, and determining the pulse cluster with the highest score as the real pulse cluster; and recovering the real laser pulse based on the temporal position information of the pulses in the real pulse cluster and the laser pulse template. This method can significantly improve the effective detection rate and detection accuracy of the SPAD detection system.

The present application belongs to the technical field of electric variable and magnetic variable measurement, and particularly relates to an electromagnetic response electric parameter measurement and identification method based on linear background stripping and shape correlation, a preset moving identification window width; in a selected window range, early and late multi-measuring-lead electric responses of the same number of time leads are respectively intercepted from the first lead and the last lead, summed and averaged to generate early and late multi-measuring-lead electric response representation; the early and late multi-measuring-lead electric response representation is subjected to linear background removal to obtain early and late multi-measuring-lead abnormal shape vectors; an abnormal shape correlation coefficient of the early multi-measuring-lead electric response relative to the late one is calculated to obtain an induced electric response identification factor of a window center measuring point; the induced electric response identification factor distribution corresponding to the overall data profile is obtained by point-by-point moving window and normalized, and the induced electric response distribution and its intensity characteristics in the transient electromagnetic data are identified through the amplitude distribution, thereby effectively improving the induced electric response identification accuracy in the transient electromagnetic data.

The application discloses a kind of based on amplitude heterogeneity partial amplitude death implementation method.By constructing the Stuart-Landau coupled oscillation system model with the amplitude heterogeneity subject to uniform distribution, the conjugate average field coupling is introduced, combined with partial amplitude death steady-state analysis and its linear stability analysis, the continuous spectrum and discrete spectrum of coupled oscillator system are solved, the upper boundary of partial amplitude death boundary and the amplitude death proportion expression are determined.The influence of amplitude distribution parameters and coupling strength on partial amplitude death can be determined, and the partial amplitude death boundary line, death proportion and phase transition process can be identified.This method breaks through the limitations of traditional numerical simulation fitting, and the scheme is universal, which can meet the high-precision regulation and control requirements of complex coupled systems.It can provide reliable theoretical basis and technical support for the dynamic analysis, structure optimization and precise regulation and control of complex oscillation systems such as nonlinear systems, coupled oscillators, artificial neural networks and power systems.

An Airy beam generation method and device, the method comprising: S1, determination of working frequency and device construction; S2, establishing the corresponding relationship of leaky wave unit geometric parameters and leaky wave phase, amplitude; S3, solving one-dimensional Airy beam complex amplitude distribution; S4, backstepping unit geometric parameters to realize target complex amplitude regulation; S5, constructing a super surface complex amplitude regulation device based on one-way electromagnetic mode. The application realizes the complex amplitude regulation of transmission wave in free space by independently regulating the size of metal block and the thickness of air medium layer; the super surface device is simple in structure design, high in efficiency, easy to integrate and reconfigurable, and can replace the spatial light modulator through the one-way waveguide phase regulation function, reduce the system cost and improve the integration, and is suitable for on-chip integrated high-efficiency free-space wavefront control applications.

The application relates to the technical field of power equipment monitoring, and discloses a power distribution transformer health state evaluation method and system fusing multi-source data. The method comprises the following steps: obtaining a multi-source monitoring data set containing a time stamp from a monitoring device; pre-processing the data set to remove noise; performing time correction processing on the cleaned data to unify the time reference; performing frequency domain transformation on the time-aligned data, extracting peak frequency and amplitude distribution to form a feature set; preliminarily classifying fault mechanisms according to the feature set; fusing the classification results with the time sequence trend and waveform features in the cleaned data to generate a comprehensive fault feature vector; and performing matching analysis on the comprehensive fault feature vector by using a pre-trained classifier to output a health state evaluation result. The application solves the problems of multi-source data fusion difficulty, inaccurate feature representation and unreliable critical state recognition, and improves the accuracy and early warning timeliness of state evaluation.

The present disclosure provides an unsupervised damage identification method, device and product of macro strain wavelet packet energy, and relates to the technical field of computer. The method comprises: acquiring a measured macro strain response signal of a structure under unknown multiple load actions; extracting a target macro strain response signal of a target measuring point from the measured macro strain response signal; respectively performing wavelet packet decomposition on the target macro strain response signal and the measured macro strain response signal to determine wavelet packet energy feature vectors of the target macro strain response signal and the measured macro strain response signal; inputting the wavelet packet energy feature vector of the target macro strain response signal into a deep learning network to eliminate the influence of unknown multiple loads and simultaneously obtain a predicted wavelet packet energy feature vector; calculating a change rate between the predicted wavelet packet energy feature vector and the wavelet packet energy feature vector of the measured macro strain response signal to determine damage change rates of each measuring point; and determining a damage position of the structure object based on the amplitude distribution of the damage change rates of each measuring point.

This invention discloses a beam-shaping metasurface device and its fabrication method. The metasurface device includes a substrate and a metasurface located on the substrate. The fabrication method is as follows: First, set the characteristic parameters of the metasurface unit, the characteristic parameters of the input and output beams, and the iterative optimization parameters; then calculate the amplitude distribution of the input surface, the target amplitude distribution of the device surface, the target amplitude distribution of the output surface, and the initial phase distribution; next, perform selective amplitude constraint iterative optimization to obtain the optimal phase distribution; then calculate the pre-collimated phase distribution based on the characteristic parameters of the input and output beams, and calculate the metasurface compensation phase distribution based on the optimal phase distribution and the pre-collimated phase distribution; finally, determine the geometric parameters of each metasurface unit based on the correspondence between the metasurface compensation phase distribution and the geometric parameters-phase of the metasurface unit, and fabricate the metasurface device. This invention improves the beam-shaping quality of the metasurface device.

This invention relates to a method and apparatus for measuring the transmission matrix of a scattering medium based on phase mask enhancement. The method includes: generating a collimated beam and dividing it into multiple sub-beams; applying a desired phase delay to each sub-beam and then merging them into a single beam to apply a phase mask factor; changing the amplitude distribution of the beam and inputting multiple modulation patterns to obtain multiple modulation optical fields; sequentially inputting each modulation optical field into a scattering medium to form multiple speckle patterns and obtaining the amplitude distribution; adjusting the phase mask factor and repeating the above steps; and iteratively calculating the transmission matrix of the scattering medium based on the obtained amplitude distribution. Compared with the prior art, this invention proposes to increase the constraint conditions on the phase by externally implanting a phase mask control module, overcoming the difficulty of accurately measuring the phase dimension information of the transmission matrix in traditional amplitude-type spatial light modulator non-interference scattering medium transmission matrix measurement methods. It has advantages such as high measurement accuracy and fast measurement speed.

This invention relates to the field of waterproof material quality testing technology, specifically to a device and method for determining the process status of waterproof membranes. By simultaneously acquiring surface height sequences measured by laser and contact, and determining the surface fabric texture signal and fabric structure compression fluctuation signal, the relative displacement of the melt fabric is first quantified using the delay correlation between the two, thereby directly identifying macroscopic process deviations caused by velocity mismatch. Then, through translation correction and linear gain modeling, the nonlinear morphological residual signal is extracted, and the physical morphology of defects is identified based on its amplitude distribution morphology characteristics, effectively distinguishing between local abrupt changes caused by unplasticized particles and systemic smooth defects caused by excessive casting. Combining the high-frequency texture attenuation rate and linear correlation determined by the frequency domain transfer function, the microscopic reproducibility of the melt is quantified to reflect its rheological characteristics, thus expanding single thickness detection to multi-dimensional feature decoupling diagnosis and improving the accuracy of waterproof membrane process status determination.

This invention relates to the field of phased array antenna technology, and provides a method and system for fast amplitude correction of asymmetric antenna array channels. For asymmetric antenna arrays, the distribution of working antenna elements and empty antenna elements is first obtained; then, the correction residual is calculated based on the amplitude distribution of the antenna array, and a judgment is made; if a preset residual threshold is met, the calculation is terminated and the current amplitude distribution is output; if the preset residual threshold is not met, the amplitude of the empty antenna elements is allocated to other working antenna elements based on the initial full array amplitude distribution to complete the correction calculation, and this process continues iterating until a preset parameter threshold is met or the number of corrections reaches a preset number, at which point the final amplitude distribution is output. This method solves the difficulty of global optimization required for asymmetric antenna arrays, significantly reduces computational costs, improves the efficiency of obtaining correction coefficients, and has a wide range of applications.

The application discloses a road construction quality detection method based on an intelligent sensor, which comprises the following steps: step one, collecting drum vibration acceleration signals and performing sliding time window segmentation to form a vibration signal segment sequence; step two, performing direct current removal on the vibration signal segment sequence and calculating a frequency spectrum amplitude distribution to screen effective vibration signal segments; step three, extracting a main peak coupling frequency, a half-power bandwidth, a harmonic energy ratio and a self-correlation delay parameter to construct a characteristic vector; step four, normalizing the characteristic vector and calculating a vector angle to obtain a characteristic angle distance mapping value; step five, constructing a characteristic spectrum representation matrix by using an improved Gegenbauer polynomial and a fractional order modulation; step six, performing a fractional order spectrum operator mapping calculation to obtain a construction quality calculation value; and step seven, performing section determination according to a quality threshold value. The application realizes stable detection and evaluation of road construction quality.

The application discloses a modeling method of low-frequency electromagnetic noise induced by underwater platform motion, and establishes an underwater platform motion posture equation under the influence of sea waves based on a Maxwell equation set, and analyzes the change of a velocity field of the underwater platform to realize modeling of low-frequency electromagnetic field noise induced by underwater platform motion, and then obtains amplitude distribution and spectrum characteristics of the low-frequency electromagnetic noise through simulation. The application provides a model and a method for analyzing and suppressing noise when low-frequency electromagnetic signals of an underwater target are used for detection and positioning.

This invention relates to the field of speech coding technology, specifically to an audio data processing system and method. The system includes an audio signal framing module, a spectrum threshold routing module, a threshold balance calibration module, a peak link recognition module, and a curve audio correction module. In this invention, after the audio signal is framed and transformed, the amplitude is compared with adjacent differences to trigger dynamic adjustments, enabling fine correction of spectral abrupt change regions. Local threshold adaptive reconstruction maintains frequency band energy coordination, half-value iterative compensation suppresses single-point deviations and stabilizes the energy structure, and inverse-range weighted calculation of peak positions makes frequency band transitions smoother, reducing energy abrupt changes. Offset correction adjusts the amplitude distribution based on the predicted curve difference, optimizing spectral continuity and residual smoothness, and overall improving transient fidelity and low-noise balance, allowing compressed audio to remain clear and natural in complex scenes.

This invention belongs to the field of electrical and magnetic variable measurement technology, specifically involving a method for measuring and identifying electromagnetic response electrical parameters based on linear background stripping and morphology-related parameters. The method involves a preset moving identification window width; within the selected window range, early and late multi-channel electrical responses of equal time periods are extracted from the first and last channels, respectively, and the summation and average are used to generate early and late characterizing multi-channel electrical responses; linear background removal is performed on the early and late characterizing multi-channel electrical responses to obtain early and late multi-channel abnormal morphology vectors; the correlation coefficient of the early multi-channel electrical responses with the late abnormal morphology is calculated to obtain the induced electromotive force (ICF) response identification factor at the center of the window; the window is moved point by point to obtain the distribution of ICF response identification factors corresponding to the overall data profile and normalized; the distribution and intensity characteristics of the ICF response in transient electromagnetic data are identified through its amplitude distribution, effectively improving the accuracy of ICF response identification in transient electromagnetic data.